---
title: "Local Authority RUC"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source_code: embed
---

```{r setup, include=FALSE}

library(flexdashboard)

# Data Tidying
library(tidyverse)
library(readr)
library(janitor)

# Working with Spatial Data
library(sf)
library(rmapshaper)

# Embedding HTML Widgets
library(htmltools)
library(DT)
library(leaflet)
library(crosstalk)

```

```{r data-tidying, include = F}
# Import LA .shp file and LA ruc

LA_shp <- st_read("Data/Local_Authority_Districts_(December_2011)_Boundaries_EW_BFC.shp") %>%
  rmapshaper::ms_simplify()

LA_ruc <- read_csv("Data/RUC_LAD_2011_EN_LU.csv") %>%
  clean_names() %>%
  select(lad11cd, ruc11, broad_ruc11) %>%
  mutate(ruc11 = factor(ruc11, levels = c("Mainly Rural (rural including hub towns >=80%)",
                                          "Largely Rural (rural including hub towns 50-79%)",
                                          "Urban with Significant Rural (rural including hub towns 26-49%)",
                                          "Urban with City and Town",
                                          "Urban with Minor Conurbation",
                                          "Urban with Major Conurbation")),
         broad_ruc11 = factor(broad_ruc11, levels = c("Predominantly Rural",
                                                      "Urban with Significant Rural",
                                                      "Predominantly Urban")))

LA_ruc_shp <- left_join(LA_shp, LA_ruc, by = "lad11cd") %>%
  st_transform(4326) %>% # Convert from a UK Projection (epsg = 27700) to a Global Projection (epsg = 4326)
  mutate(st_areasha = scales::comma(st_areasha / 1000000, accuracy = 1)) %>%
  select(lad11cd, lad11nm, ruc11, broad_ruc11, st_areasha)

# Create shared dataset for CrossTalk HTML Widgets to communicate
shared_data <- crosstalk::SharedData$new(LA_ruc_shp)

```



Column {data-width=500}
-----------------------------------------------------------------------

### Map of Local Authorities in England, by 2011 Rural Classification

```{r leaflet-plot}
# plot leaflet choropleth

palette <- c("#003300", "#00FF00", "#CCCCCC", "#00CCFF", "#3366FF", "#0000FF")

factpal <- colorFactor(palette, LA_ruc_shp$ruc11)

labels <- sprintf(
  "%s
%s",
  LA_ruc_shp$lad11nm, LA_ruc_shp$ruc11
) %>% lapply(htmltools::HTML)

shared_data %>%
  leaflet() %>%
  addTiles() %>%
  addPolygons(
    stroke = T, 
    smoothFactor = 1, 
    fillOpacity = 0.7,
    fillColor = ~factpal(ruc11),
    color = "white",
    weight = 2,
    dashArray = "1",
    highlight = highlightOptions(
      weight = 5,
      color = "#666",
      dashArray = "",
      fillOpacity = 0.7,
      bringToFront = TRUE),
  label = labels,
  labelOptions = labelOptions(
    style = list("font-weight" = "normal", padding = "3px 8px"),
    textsize = "15px",
    direction = "auto"))

```

Column {data-width=500}
-----------------------------------------------------------------------

### 2011 Local Authorities

```{r Datatable}
shared_data %>%
  DT::datatable(colnames = c("LA Code 2011", "LA Name", "Rural Classification (RUC)", "Broad RUC", "Area (km^2)", "Geometry"),
                rownames = F,
                options = list(scrollY = "70vh",
                               pageLength = 10,
                               scroller = TRUE,
                               columnDefs = list(
                                 list(
                                   visible = FALSE,
                                   targets = 5
                                 )
                               )
                )
  )
```

### Filters

```{r filters}

filter_select(
  id = "lad11nm",
  label = "Local Authority",
  sharedData = shared_data,
  group = ~lad11nm
)

```